results50000f

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

• Loss: 1.9250

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7357	1.0	3125	2.0753
2.5874	2.0	6250	2.0158
2.5294	3.0	9375	1.9860
2.4908	4.0	12500	1.9678
2.4653	5.0	15625	1.9529
2.4468	6.0	18750	1.9422
2.4298	7.0	21875	1.9334
2.4213	8.0	25000	1.9288
2.4136	9.0	28125	1.9264
2.409	10.0	31250	1.9250

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3